Automated Item Generation: impact of item variants on performance and standard setting
Abstract Background Automated Item Generation (AIG) uses computer software to create multiple items from a single question model. There is currently a lack of data looking at whether item variants to a single question result in differences in student performance or human-derived standard setting. Th...
Main Authors: | R. Westacott, K. Badger, D. Kluth, M. Gurnell, M. W. R. Reed, A. H. Sam |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-09-01
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Series: | BMC Medical Education |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12909-023-04457-0 |
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